Regional disparity and cost-effective SO2 pollution control in China: A case study in 5 mega-cities

Kanada, Momoe; Dong, Liang; Fujita, Tsuyoshi; Fujii, Minoru; Inoue, Tsuyoshi; Hirano, Yoshiyuki; Togawa, Takuya; Geng, Yong

doi:10.1016/j.enpol.2013.05.105

Cited by 74 publications

(29 citation statements)

References 30 publications

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“…In terms of the relationship between urbanization and industrial pollutant emissions, Kanada et al [21], Qin et al [22], and Dong et al [23] studied the way in which urban population growth impacted local pollution levels and indicated that as the urban population became richer, the demand of private transportation and electricity sharply increased; thus, the activities and demands of individuals exacerbated urban pollution externalities. However, Tao et al [24] obtained an opposite result arguing that the overall quantity of pollutant discharge decreased as cities became more economically developed during the period from 2000 to 2010, and they attributed such positive effect to higher urban production efficiencies.…”

Section: Literature Reviewmentioning

confidence: 99%

Urbanization and Its Effects on Industrial Pollutant Emissions: An Empirical Study of a Chinese Case with the Spatial Panel Model

Jin

2016

Sustainability

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Abstract:Urbanization is considered a main indicator of regional economic development due to its positive effect on promoting industrial development; however, many regions, especially developing countries, have troubled in its negative effect-the aggravating environmental pollution. Many researchers have addressed that the rapid urbanization stimulated the expansion of the industrial production and increased the industrial pollutant emissions. However, this statement is exposed to a grave drawback in that urbanization not only expands industrial production but also improves labor productivity and changes industrial structure. To make up this drawback, we first decompose the influence of urbanization impacts on the industrial pollutant emissions into the scale effect, the intensive effect, and the structure effect by using the Kaya Identity and the LMDI Method; second, we perform an empirical study of the three effects by applying the spatial panel model on the basis of the data from 282 prefecture-level cities of China from 2003 to 2014. Our results indicate that (1) there are significant reverse U-shapes between China's urbanization rate and the volume of industrial wastewater discharge, sulfur dioxide emissions and soot (dust) emissions; (2) the relationship between China's urbanization and the industrial pollutant emissions depends on the scale effect, the intensive effect and the structure effect jointly. Specifically, the scale effect and the structure effect tend to aggravate the industrial wastewater discharge, the sulfur dioxide emissions and the soot (dust) emissions in China's cities, while the intensive effect results in decreasing the three types of industrial pollutant emissions; (3) there are significant spatial autocorrelations of the industrial pollutant emissions among China's cities, but the spatial spillover effect is non-existent or non-significant. We attempt to explain this contradiction due to the fact that the vast rural areas around China's cities serve as sponge belts and absorb the spatial spillover of the industrial pollutant emissions from cities. According to the results, we argue the decomposition of the three effects is necessary and meaningful, it establishes a cornerstone in understanding the definite relationship between urbanization and industrial pollutant emissions, and effectively contributes to the relative policy making.

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Section: Literature Reviewmentioning

confidence: 99%

Urbanization and Its Effects on Industrial Pollutant Emissions: An Empirical Study of a Chinese Case with the Spatial Panel Model

Jin

2016

Sustainability

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“…Industrial transfer from the eastern developed coastal areas to the less developed middle-western inland areas in China has been used to rapidly promote economic growth in the less developed inland regions since the 1990s, and the gap in GDP per capita between the coastal and inland regions has narrowed (Lemoine et al, 2015). Coupled with this accelerated industrialization, the inland regions have been suffering from serious air pollution because of large increases in industrial emissions of sulfur dioxide (SO 2 ), nitrogen oxides (NO x ), non-methane volatile organic compounds (NMVOCs) and black carbon (Qin and Xie, 2012;Kanada et al, 2013;Zhao et al, 2013;Qiu et al, 2014). In China, developed coastal regions outsource emissions to less developed inland regions through the import of energy and goods (Feng et al, 2013;Zhao et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Single-Particle Characterizations of Ambient Aerosols during a Wintertime Pollution Episode in Nanning: Local Emissions vs. Regional Transport

Chen

et al. 2017

Aerosol Air Qual. Res.

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Ambient aerosol during a heavily polluted episode in wintertime was characterized using real-time single particle aerosol mass spectrometry (SPAMS) in urban Nanning, a capital city in the Southwestern China. More than two million individual particles analyzed by SPAMS were classified into 8 major clusters based on the mass spectral patterns. A group of vanadium-rich particles were identified as the emissions from mining and smelting of vanadium mineral and were taken as markers of regional transported industrial emissions when air masses traversed northeast inland regions from Nanning. Number fractions of other industrially-emitted particles, including chromium-rich, elemental/organic carbon, organic carbon and fly ash, also increased during the regional transport events. During stagnant periods, local emissions sources, including vehicle exhaust (like Ca-EC particles) and local coal-fired power plants, contributed to the fine particles. During most of the sampling period, biomass burning particles produced by bagasse combustion were the most abundant, contributing ~25-80% of the total classified particles. Our observations suggest that biomass burning particles derived from industrial heat and electricity cogeneration processes could have a significant impact on the urban air quality without proper emission controls.

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“…Amann et al (2008b) estimated the air pollutants and GHGs emissions and their impacts in baseline and alternative policy scenarios to find the most cost-effective measures to address the two issues in China. Kanada et al (2013) investigated the differences of SO 2 emissions, SO 2 reduction potential, and the costeffectiveness of reduction policies by using GAINS-China model in five mega-cities in China. Liu et al (2013) conducted a case study in Beijing using GAINS-City model, which includes some adjustments of the original GAINS model, with policy packages designed and implemented in policy scenarios.…”

Section: Gains Modelmentioning

confidence: 99%

Analysis of air pollution reduction and climate change mitigation in the industry sector of Yangtze River Delta in China

Zheng

Jiang

Qiao

et al. 2016

Journal of Cleaner Production

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Regional disparity and cost-effective SO2 pollution control in China: A case study in 5 mega-cities

Cited by 74 publications

References 30 publications

Urbanization and Its Effects on Industrial Pollutant Emissions: An Empirical Study of a Chinese Case with the Spatial Panel Model

Urbanization and Its Effects on Industrial Pollutant Emissions: An Empirical Study of a Chinese Case with the Spatial Panel Model

Single-Particle Characterizations of Ambient Aerosols during a Wintertime Pollution Episode in Nanning: Local Emissions vs. Regional Transport

Analysis of air pollution reduction and climate change mitigation in the industry sector of Yangtze River Delta in China

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